Human protein-coding genes and gene feature statistics in 2019

• Main Authors: Allison Piovesan, Francesca Antonaros, Lorenza Vitale, Pierluigi Strippoli, Maria Chiara Pelleri, Maria Caracausi
• Format: Article
• Language: English
• Published: BMC 2019-06-01
• Series: BMC Research Notes
• Subjects: Human genes; Protein-coding genes; Gene statistics
• Online Access: http://link.springer.com/article/10.1186/s13104-019-4343-8

Abstract Objective A well-known limit of genome browsers is that the large amount of genome and gene data is not organized in the form of a searchable database, hampering full management of numerical data and free calculations. Due to the continuous increase of data deposited in genomic repositories, their content revision and analysis is recommended. Using GeneBase, a software with a graphical interface able to import and elaborate National Center for Biotechnology Information (NCBI) Gene database entries, we provide tabulated spreadsheets updated to 2019 about human nuclear protein-coding gene data set ready to be used for any type of analysis about genes, transcripts and gene organization. Results Comparison with previous reports reveals substantial change in the number of known nuclear protein-coding genes (now 19,116), the protein-coding non-redundant transcriptome space [now 59,281,518 base pair (bp), 10.1% increase], the number of exons (now 562,164, 36.2% increase) due to a relevant increase of the RNA isoforms recorded. Other parameters such as gene, exon or intron mean and extreme length appear to have reached a stability that is unlikely to be substantially modified by human genome data updates, at least regarding protein-coding genes. Finally, we confirm that there are no human introns shorter than 30 bp.